Cyber security meets machine learning / (Record no. 14157)
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000 -LEADER | |
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fixed length control field | 02642cam a2200241Ii 4500 |
INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789813367265 |
INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9813367261 |
DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | KF27 .C44 2021 DCC:006.3/1 |
Item number | 1 |
TITLE STATEMENT | |
Title | Cyber security meets machine learning / |
Statement of responsibility, etc | Xiaofeng Chen, Willy Susilo, Elisa Bertino, editors |
Copyright Date | |
Place of publication | Singapore : |
Name of publisher | Springer, |
Year of publication or production | 2021 |
PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource |
Other physical details | Illu;- Charts, References, Tables |
FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 1. IoT Attacks and Malware -- Chapter 2. Machine Learning-based Online Source Identification for Image Forensics -- Chapter 3. Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles -- Chapter 4. Visual Analysis of Adversarial Examples in Machine Learning -- Chapter 5. Adversarial Attacks against Deep Learning-based Speech Recognition Systems -- Chapter 6. Secure Outsourced Machine Learning -- Chapter 7. A Survey on Secure Outsourced Deep Learning |
SUMMARY, ETC. | |
Summary, etc | Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations |
SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Machine learning |
SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer security. |
ADDED ENTRY--PERSONAL NAME | |
Personal name | Chen, Xiaofeng, |
ADDED ENTRY--PERSONAL NAME | |
Personal name | Susilo, Willy, |
ADDED ENTRY--PERSONAL NAME | |
Personal name | Bertino, Elisa, |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://rave.ohiolink.edu/ebooks/ebc2/9789813367265 |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://link.springer.com/10.1007/978-981-33-6726-5 |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-981-33-6726-5 |
ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Books |
Permanent Location | Current Location | Date acquired | Full call number | Accession Number | Koha item type |
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Gabriel Afolabi Ojo Central Library (Headquarters). | Gabriel Afolabi Ojo Central Library (Headquarters). | 11/06/2024 | KF27 .C44 2021 | 0194785 | Books |